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International Academy of Wood Science 2018 Annual Meeting

Papers Proceedings »

Resin canals and the potential resin yield of Pinus oocarpa in a progeny trial

Resin is one of the most significant non-wood forest products. Commonly resin occurs in specialized anatomical features such as the canal complexes and it is a primary defense against pests. Several species in Mexico are used commercially to collect resin but scarce information is available about their resin complex features and their hereditary. This study focuses on the analyses of resin canal complexes (number and size) and their relation to the resin yield in Pinus oocarpa Schiede ex Schltdl. The core samples were collected from seven-year-old trees from eight families in a progeny test. The transverse and tangential sections were cut with a sledge microtome; stained (safranin and fast-green) and mounted with synthetic resin. The area and number per mm2 of the vertical and radial resin canals were quantified. Resin yield was measured by a micro-chipping technique for two years. Variance analyses to detect differences among tree families were performed, Pearson correlations to evaluate the association between traits and regression analyses to evaluate if resin yield can be predicted. The mean area of the vertical canals was 0.017 mm2 and their number was 0.86/mm2. The mean area of the radial canals was 0.002 mm2 and their number of canals was 0.87/mm2. The mean resin yield was 9.8 and 15.7 g/tree respectively. The variance analysis indicates that there is only a statistically significant difference among families for resin yield (p<0.05). The phenotypic correlation was high and positive for the association of the variables: area of the vertical canals and resin yield (rP YEAR 1= 0.88). Average area of vertical canals predicted resin yield (R2 YEAR 1= 0.76; p<0.05). These results suggest that there is a relationship between the area of vertical resin canals and resin yield, and that tree families with larger vertical canal areas could be potentially more productive.

Irenka Fabián Plesníková
University of Michoacan of Saint Nicholas of Hidalgo
Mexico

Teresa Terrazas
National Autonomous University of Mexico
Mexico

José Cruz de León
University of Michoacan of Saint Nicholas of Hidalgo
Mexico

Miguel Martínez-Trujillo
University of Michoacan of Saint Nicholas of Hidalgo
Mexico

Alejandro Reyes-Ramos
University of Michoacan of Saint Nicholas of Hidalgo
Mexico

Cuauhtémoc Sáenz-Romero
University of Michoacan of Saint Nicholas of Hidalgo
Mexico

Nahum Sánchez-Vargas
University of Michoacan of Saint Nicholas of Hidalgo
Mexico

 


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